Easily build knowledgeable chat and agent-based applications in minutes with Pinecone Assistant, now generally available

What this post added

This post announces the General Availability (GA) of Pinecone Assistant. Key technical contributions include the introduction of optimized Chat and Context APIs. The Chat API provides structured, grounded responses with citations in streaming or batch modes. The Context API, as the context engine, delivers structured context (expanded chunks with relevancy scores and references) without the generation step, making it suitable for agentic workflows. Custom instructions allow for fine-tuning assistant responses. Expanded input formats now include JSON, .md, and .docx, alongside PDF and .txt. Output can now be in JSON format. Region control for building assistants in EU or US regions is also introduced. The post also provides Python SDK examples for uploading files, using the context API with metadata filters and conversation history, and updating assistant instructions. An example demonstrates using the `json_response=True` parameter for JSON output.